Change base_url and compare providers without reworking the call shape.
NextModel Magyarorszag · production gateway · OpenAI-kompatibilis
All models.One API.
Kezeld az AI API-koltseget egy OpenAI-kompatibilis hosted API-n keresztul magyar csapatoknak. A misses a valodi upstreamet hivja, az upstream cache talalatok a hivatalos cache aron 1:1 szamlazodnak, a nyugtak pedig lathatova teszik a koltseget SDK-integracio ujrairasa nelkul.
›prompt: "Valasszon modellt ehhez a workloadhoz."
anclaude-sonnet-4-51.2s
koltseg: $0.00321
opgpt-4o-mini0.6s
koltseg: $0.00012
gogemini-2-5-flash0.5s
koltseg: $0.00008
dedeepseek-v30.9s
koltseg: $0.00037
Requests / sec42,891
Lowest input$0
Model sources140 / growing
Gateway statusOK
Latest
New model · 2026-09-05
GPT-6 Astra is live on NextModel — 1M context, tiered pricing
Pricing · 2026-09-05
The 272K cliff, explained: GPT-6 Astra pricing with worked examples
Migration · 2026-09-05
Migrating from GPT-5.x to GPT-6 Astra: ids, Responses API, rollback
Community · 2026-09-06
What early testers are actually doing with GPT-6 Astra
Kinek szol
Valodi API-forgalmat kezelo fejlesztoknek es kis csapatoknak keszult.
Ha a tokenkoltseget, az ismetlodo kerelmeket es az integralasi sebesseget figyeled, ez a hosted API reteg a meglévo SDK-d felett.
NextModel turns Fresh calls, upstream cache pricing passed through 1:1, and receipts into one visible control layer above the SDK. That gives developers a place to keep unit economics honest and adopt a hosted API without reworking the app.
See the difference between Fresh and cached pricing before traffic multiplies.
Every request's receipt is hashed, batch-anchored on-chain, and independently verifiable.
Rovid valasz
Mi az a NextModel?
A NextModel egy OpenAI-kompatibilis hosted API fejlesztoknek es kis csapatoknak, akik egy helyen akarjak kezelni a Fresh fallbacket, az upstream cache kedvezmenyeket es az atlathato nyugtakat, mielott a modellkoltseg no.
Teams use NextModel when they want a compatible hosted API without losing visibility into billing facts. The gateway keeps the familiar OpenAI SDK shape while adding transparent pricing context, upstream cache pass-through, and receipts.
tamogatott modelforrasok · nem hivatalos partnersegek
anAnthropicopOpenAIgoGooglevoVolcenginealAlibaba ClouddeDeepSeekopOpenRoutermoMoonshotanAnthropicopOpenAIgoGooglevoVolcenginealAlibaba ClouddeDeepSeekopOpenRoutermoMoonshot
miert nextmodel
Egy gateway.
Legyen lathato a koltes, a policy es a forras.
Emelje ki a modellvalasztast, a koltsegkeretek szabalyait, a forrasok osszehasonlitasat es a hasznalati riportokat az alkalmazaskodbol. Az API ismeros marad, mikozben a dontesi reteg lathatova valik a termek- es platformcsapatoknak.
01 · one sdk
OpenAI SDK, many model sources.
Already using OpenAI? Change base_url, keep chat completions, streaming, tools, and JSON-oriented workflows.
pythonnodecurl
client = OpenAI(
base_url="https://api.nextmodel.app/v1",
api_key=os.environ["NM_KEY"],
)
client.chat.completions.create(
model="claude-sonnet-4-5",
messages=[...],
)02 · routing
Policies before production traffic.
Route by workload, source, budget, latency, or capability instead of scattering rules across services.
03 · billing
Spend by key, project, and team.
See which application paths drive token cost and turn model selection into an operational decision.
api.web$353 · 42%agent.eval$235 · 28%rag.ingest$151 · 18%dev$101 · 12%
04 · price
Compare the gap before calling.
05 · governance
Budget-aware model operations.
Bring your own keys, assign project limits, and keep a clear audit trail for model API spend.
42 models
tracked dimensionsproject · key · source
policy layerbudgets · providers
SDK modeOpenAI-compatible
06 · regions
Domestic + global, one endpoint.
Compare Chinese and global model sources from one interface without implying official provider partnership.
elo modellgraf
140 modell,
egy shortlist.
Egyetlen endpoint modell-osszehasonlitashoz. Nezze meg az arat, a becsult kesleltetest, a provider forrasat es a workloadhoz valo illeszkedest, mielott termelesi forgalmat routol.
Gyorsinditas
Harom lepes egy meglevo SDK-tol a lathato koltseg-szabalyozasig.
Adjon ki egy kulcsot a projekthez, kornyezethez vagy munkaterheleshez, amit nyomon szeretne kovetni.
Allitsa az OpenAI SDK alap URL-jet https://api.nextmodel.app/v1 ertekre.
Hasznaljon egy modell azonositot a katalogusbol, majd hasonlitsa ossze a koltseget es a kimenet minoseget.
Koltsegiranyitas
Tartsd lathatoan a Fresh, cache es nyugta reteget, mielott a koltseg no.
This is the layer developers and small teams need once request volume and spend start to grow.
Understand which applications and environments are driving model spend.
See which requests hit the real upstream and which were served as idempotent replays.
Transparent workflows
- Send requests through one OpenAI-compatible interface.
- Misses call the real upstream model.
- Upstream prompt-cache hits are billed 1:1 at official cached rates.
- Use receipts and usage exports to reconcile what happened.
Dokumentacio CTA
Masoljon egy mukodo keresi Python, Node vagy curl nyelven.
curl
curl https://api.nextmodel.app/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $NEXTMODEL_API_KEY" \
-d '{"model":"qwen/qwen3.7-max","messages":[{"role":"user","content":"Reply with OK."}]}'Python
# pip install openai
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["NEXTMODEL_API_KEY"],
base_url="https://api.nextmodel.app/v1",
)
resp = client.chat.completions.create(
model="qwen/qwen3.7-max",
messages=[{"role": "user", "content":"Reply with OK."}],
)
print(resp.choices[0].message.content)Node.js
// npm install openai
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.NEXTMODEL_API_KEY,
baseURL: "https://api.nextmodel.app/v1",
});
const resp = await client.chat.completions.create({
model: "qwen/qwen3.7-max",
messages: [{ role: "user", "content":"Reply with OK." }],
});
console.log(resp.choices[0].message.content);Uj benchmark
Mielott bekapcsolja a gyorsitotarat, merje meg, hogy az ujrafelhasznalas biztonsagos-e.
A CacheSafety Bench ellenorzi a biztonsagos talalati aranyt, a rossz talalati aranyt, a szemantikai csapdahibakat es a koltsegmegtakaritast, mielott a csapatok megbiznak egy gyorsitotar-retegben.
A CacheSafety Bench segit a csapatoknak osszehasonlitani a biztonsagos talalati aranyt, a rossz talalati aranyt, a szemantikai csapdahibakat es a koltsegmegtakaritast, mielott eles kornyezetben megbiznanak egy gyorsitotar-retegben.
Benchmark felfedezeseKezdje most
Valassza ki a modellt, majd iranyitsa a koltsegeket.
Nyissa meg a gyorsinditast, masoljon egy keresit, es hasonlitsa ossze a valos munkaterheleset a Fresh es upstream cache arakkal.